Solve the Problems That Matter Most
How You'll Make an Impact:
Design and develop agentic AI workflows using LLM orchestration frameworks while implementing planning, reflection, and tool-use patterns
Architect and build system integrations connecting AI agents to internal APIs, databases, and third-party SaaS platforms
Develop and maintain Human-in-the-Loop (HITL) checkpoints and escalation logic to surface agentic decisions for human validation
Implement observability and feedback loops within deployed agents to capture performance signals, exception rates, and decision traces
Analyze existing technical workflows to identify automation opportunities and produce engineering-ready specifications
Contribute to documentation standards for agentic systems including technical specs, architecture diagrams, and runbooks
Partner with internal stakeholders to translate operational pain points into technical requirements
Conduct all business in accordance with company policies and procedures
Perform all other duties as assigned
The Expertise You'll Bring:
Typically requires a minimum of 3 years of related experience with a Bachelor's degree or 2 years with a Master's degree
Preferred 3+ years in software or systems engineering with at least 1 year focused on LLM-based automation or agentic system design
Bachelor's degree in Computer Science, Software Engineering, or a related technical field preferred
Proficiency in Python and at least one LLM orchestration framework such as LangChain, LlamaIndex, or CrewAI
Strong API integration skills across REST and GraphQL including comfort with various authentication patterns
Working knowledge of prompt engineering, retrieval-augmented generation (RAG), and tool/function calling patterns
Experience with SQL and NoSQL databases including schema design for agentic memory and state management
Familiarity with cloud environments and deployment patterns for AI workloads
Version control proficiency using Git with disciplined branching and documentation practices
Ability to decompose complex processes into discrete and testable automation components
Experience designing observability into systems including logging, alerting, and performance tracking
Ability to communicate technical architecture and tradeoffs clearly to non-technical stakeholders
Comfort working across functions to gather requirements and iterate on agent behavior
Education and Experience
Knowledge and Abilities
Skills Required
- Minimum 3 years of related experience
- Bachelor's degree in Computer Science or related field
- 3+ years in software or systems engineering
- 1 year focused on LLM-based automation
What We Do
We're FinQuery, and we're here to help you manage your finances in a whole new way. More than 36,000 professionals rely on FinQuery to make better business and financial decisions for their largest areas of spend - leases, software subscriptions, and financial contracts - something no other provider offers in the market. Our award-winning AI-powered software helps businesses minimize risk, increase efficiency, and reduce costs. And what makes it truly intelligent? We let you do it all on one platform. FinQuery gives you the power of total visibility, so that Finance and Accounting can simplify accounting, forecast accurately, and budget confidently. And the IT department can clearly see and manage the company’s software stack with actionable insights, smart automation, and helpful tools. You’ll see the most where you’re spending the most.
